sodavis

SODA: Main and Interaction Effects Selection for Logistic Regression, Quadratic Discriminant and General Index Models

CRAN Package

Variable and interaction selection are essential to classification in high-dimensional setting. In this package, we provide the implementation of SODA procedure, which is a forward-backward algorithm that selects both main and interaction effects under logistic regression and quadratic discriminant analysis. We also provide an extension, S-SODA, for dealing with the variable selection problem for semi-parametric models with continuous responses.

  • Version1.2
  • R versionunknown
  • LicenseGPL-2
  • Needs compilation?No
  • Last release05/13/2018

Team


Insights

Last 30 days

This package has been downloaded 140 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1 times.

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0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
0 downloadsMar 4, 2025
9 downloadsMar 5, 2025
3 downloadsMar 6, 2025
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4 downloadsMar 10, 2025
8 downloadsMar 11, 2025
6 downloadsMar 12, 2025
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1 downloadsMar 25, 2025
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2 downloadsApr 1, 2025
8 downloadsApr 2, 2025
1 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 1,836 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 28 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Depends3 packages